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Glück IT — dozent.net — 18 websites ranked by shared content topics, category and on-page relevance.

Each result shows its full tech stack, contacts and AI-policy — not just a name · Browse all sites in Databases →

Domain	Match	Title	Country/Lang	Category	AI files	Contact	AI-protection
dozent.net ↗	100 match 1 shared topics	Glück IT — dozent.net	de	databases	robotsllmsaihumans	emailphone	none
schwalbo.com ↗	64 match 1 shared topics	Christoph Schwalb	de	databases	robotsllmsaihumans	emailphone	none
adc-services.net ↗	63 match 1 shared topics	ADC Services GmbH	de	databases	robotsllmsaihumans	emailphone	none
dpit.io ↗	63 match 1 shared topics	dp-it – DI PROFILE	de	databases WordPress WooCommerce	robotsllmsaihumans	emailphone	none
der-softwareentwickler.net ↗	63 match 1 shared topics	Michael Müller, Der-Softwareentwickler.NET, Der Data Professional für Ihr Business	de	databases Lightspeed	robotsllmsaihumans	emailphone	none
dersoftwareentwickler.net ↗	63 match 1 shared topics	Michael Müller, Der-Softwareentwickler.NET, Der Data Professional für Ihr Business	de	databases Lightspeed	robotsllmsaihumans	emailphone	none
massendatenanalysen.com ↗	62 match 1 shared topics	Massendatenanalysen - Massendaten	de	databases WordPress WooCommerce	robotsllmsaihumans	emailphone	none
di-connector.com ↗	62 match 1 shared topics	nubibase - Digitale Transformation leicht gemacht	de	databases WordPress	robotsllmsaihumans	email phone	none
df-con.com ↗	62 match 1 shared topics	Dieter Fieber - Oracle Datenbank Beratung: Consulting, Konzeption, Realisierung, Schulung	de	databases	robotsllmsaihumans	emailphone	none
schulungsdatenbank.com ↗	62 match 1 shared topics	Professionelle Schulungsdatenbanken	de	databases	robotsllmsaihumans	emailphone	none
dieheimlichenhelfer.net ↗	62 match 1 shared topics	Datenbanken und Anwendungsentwicklung	de	databases	robotsllmsaihumans	emailphone	none
dieheimlichenhelfer.org ↗	62 match 1 shared topics	Datenbanken und Anwendungsentwicklung	de	databases	robotsllmsaihumans	emailphone	none
javionex.com ↗	62 match 1 shared topics	Datenbankmanagement lernen – Praktische Workshops für SQL, NoSQL & Performance \| Javionex	Germany~ de	databases	robotsllmsaihumans	email phone	none
scientific-metadata.net ↗	62 match 1 shared topics	MASI - Metadata Management for Applied Sciences — Zentrum für Informationsdienste und Hochleistungsrechnen (ZIH) — TU Dresden	de	databases	robotsllmsaihumans	emailphone	none
scientific-metadata.org ↗	62 match 1 shared topics	MASI - Metadata Management for Applied Sciences — Zentrum für Informationsdienste und Hochleistungsrechnen (ZIH) — TU Dresden	de	databases	robotsllmsaihumans	emailphone	none
unitek.ch ↗	61 match 1 shared topics	Unitek – Aus Daten wird Richtung	Switzerland de	databases	robotsllmsaihumans	emailphone	none
skc-group.info ↗	61 match 1 shared topics	Stefan Kraemer IT Consulting	de	databases	robotsllmsaihumans	emailphone	none
accessunddatenexpertise-olsberg.com ↗	61 match 1 shared topics	Mentoring für Access & SQL Server Modernisierung \| On-Prem Experte	de	databases	robotsllmsaihumans	emailphone	none

How the match score works

Each match is a 0–100 similarity score — the higher it is, the more two sites resemble one another. It’s computed automatically from our own crawl data (never from what a site says about itself) by combining several independent signals, so a high score means several of them point the same way:

shared topics how many of the same fine‑grained content topics (IAB sub‑categories) both sites cover — the main signal.
same category whether they sit in the same business / industry category.
content & title how closely their titles and page descriptions line up in wording and meaning.

No single signal decides the result — they’re blended together. Treat the score as a way to rank candidates rather than an absolute percentage; the chips on each result show which signals contributed.